Llama 3.3 70B Instruct
VerifiedMeta's open-weight LLM excels at instruction-following and versatile text tasks.
About Llama 3.3 70B Instruct
The model follows the transformer-based Llama architecture refined through Meta's iterative training process. It incorporates a large context window to manage extended inputs while remaining strictly text-focused. Fine-tuning for instructions improves its ability to interpret and execute user directives accurately.
Open weights enable full local deployment, customization, and fine-tuning without external dependencies. This design supports broad experimentation across hardware setups and promotes transparency in model behavior. Its strengths lie in reliable text generation and adaptability to diverse prompts.
Common uses include powering conversational interfaces, drafting documents, and supporting coding workflows. Researchers apply it to study scaling effects and alignment techniques in open models. The instruct version suits production chatbots and creative writing assistants alike.
Capabilities
How Llama 3.3 70B Instruct compares
Llama 3.3 70B Instruct (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Llama 3.3 70B Instruct ranks #34 of 141
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-Document Reasoning
The model processes inputs up to 131072 tokens to perform detailed analysis, summarization, and logical inference across entire documents or code repositories.
Software Development Workflows
It generates, debugs, and refines code while handling complex instructions and integrating tool use or function calling in development pipelines.
Multilingual Instruction Tasks
The model follows nuanced prompts to produce accurate text in multiple languages, supporting logical problem-solving and content adaptation.
Strengths & limitations
Strengths
- +Strong reasoning and instruction adherence
- +Effective long-context handling
- +Solid coding and analysis performance
- +Open-weight accessibility
Limitations
- –Text-only modality
- –Can produce hallucinations
- –No native real-time knowledge
Cost calculator
Estimate what Llama 3.3 70B Instruct would cost for your usage.
Based on Llama 3.3 70B Instruct's $0.10/1M input · $0.32/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "meta-llama/llama-3.3-70b-instruct",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: meta-llama/llama-3.3-70b-instruct
Editor's verdict
Llama 3.3 70B Instruct is Meta's open-weight language models with a 131K-token context window.
At $0.32 per 1M output tokens, it is very cost-efficient for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to strong reasoning and instruction adherence and effective long-context handling.
Frequently asked questions
The model provides a context window of 131072 tokens.
User reviews
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